Previously, we presented Viz-A-Vis, a VIsualiZation of Activity through computer VISion [17]. Viz-A-Vis visualizes behavior as aggregate motion over observation space. In this pap...
Mario Romero, Alice Vialard, John Peponis, John T....
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Enacting and capturing real motion for all potential scenarios is terribly expensive; hence, there is a great demand to synthetically generate realistic human motion. However, it ...
Timothy Edmunds, S. Muthukrishnan, Subarna Sadhukh...
We investigate the biologically inspired features (BIF) for human age estimation from faces. As in previous bioinspired models, a pyramid of Gabor filters are used at all positio...
Voice recognition technologies are rapidly evolving to help humans interact with computers more efficiently and effectively. Despite their potential advantages, their impact on sy...
Jay J. H. Jung, Clayton A. Looney, Joseph S. Valac...